Principal Engineer, Risk and TFM Technologies
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Joining CPP Investments means joining one of the world’s most admired and respected institutional investors to drive a single mandate: to deliver strong, sustainable returns for generations of Canadians.
With a long-term horizon and global reach, we deploy capital at scale across public and private markets. Our size, stability, and disciplined investment philosophy allow us to pursue complex opportunities and build enduring partnerships worldwide.
For our people, this means meaningful work with tangible impact, real opportunity, and collaboration with exceptional colleagues who value partnership and performance. Here, you’ll contribute to outcomes that matter alongside team members committed to excellence and shared success.
The Role
As Principal Engineer, Risk & Total Fund Management Technology, you will define architectural direction and elevate engineering excellence across critical investment technology platforms and data capabilities. Operating as a senior individual contributor at the Director level, you will influence enterprise-wide technical decisions, strengthen engineering practices, and ensure technology platforms remain scalable, resilient, secure, and aligned with CPP Investments' long-term investment objectives. Working across multiple teams, you will help shape how technology enables investment decision-making, risk management, and operational excellence.
The Team
Accountabilities
- Define and evolve architectural direction across critical technology platforms and data capabilities, ensuring alignment with enterprise architecture principles and engineering standards.
- Provide technical leadership on complex, cross-functional initiatives, making informed trade-offs across scalability, resilience, performance, security, cost, and operational sustainability.
- Partner with Technology Architecture & Practices and peer Principal Engineers to establish architectural consistency and long-term platform sustainability.
- Raise engineering standards across the organization by mentoring senior engineers and influencing technical decision-making through sound architectural judgement.
- Strengthen DevOps maturity, deployment reliability, observability, and secure-by-design engineering practices across technology teams.
- Advance data product maturity by improving ownership, interoperability, integration, and trusted consumption patterns.
- Guide the responsible adoption of Generative AI and automation while reducing unnecessary technology proliferation and architectural fragmentation.
- Demonstrated experience leading architecture and engineering strategy across complex enterprise technology environments.
- Deep expertise in distributed systems architecture, cloud technologies, software engineering, and modern engineering practices.
- Strong understanding of DevOps, platform engineering, security-by-design, observability, and operational resilience.
- Experience designing and enabling scalable data platforms, data integration, and data product capabilities.
- Ability to influence senior technical leaders and business stakeholders through sound technical judgement and collaborative leadership.
- Proven ability to mentor senior engineers and drive engineering excellence across multiple teams.
- Experience evaluating emerging technologies, including Generative AI, and applying them responsibly within enterprise environments.
We provide colleagues with cutting-edge AI tools, dedicated learning time, and practical support to help them deliver with greater impact.
Inclusion & Accessibility
CPP Investments is committed to equitable access to employment and building a workforce that reflects diverse talent and perspectives. If you require accommodation at any stage of the recruitment process, please let us know and we will work with you to meet your needs.
Attention: Protect Yourself from Fraud
CPP Investments is committed to a secure and transparent recruitment process. We will never ask candidates for payment or financial information at any stage of hiring. All legitimate opportunities are posted on our careers page, and communications will come from our applicant tracking system, Workday.
CPP Investments may use AI tools to help screen and assess applicants by analyzing resumes and applications for relevant skills and experience. These tools support, but do not replace, human decision-making.
More about this job
Responsibilities
Define architectural direction for critical investment technology platforms and data capabilities, making technical trade-offs that support scalability, resilience, security, and operational sustainability. Raise engineering standards across teams, strengthen DevOps and data practices, mentor senior engineers, and guide responsible adoption of Generative AI and automation.
Requirements
Requires demonstrated experience leading architecture and engineering strategy in complex enterprise environments, with deep expertise in distributed systems, cloud technologies, software engineering, and modern engineering practices. Candidates should also bring experience with DevOps, security, observability, resilient and scalable data platforms, senior-level influence, mentoring, and responsible evaluation of emerging technologies.
Skills
- Enterprise Architecture
- Distributed Systems
- Cloud Technologies
- Software Engineering
- DevOps
- Platform Engineering
- Security-by-Design
- Observability
- Operational Resilience
- Data Platforms
- Data Integration
- Data Products
- Generative AI
- Technical Leadership
- Mentoring
- Engineering Excellence
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Finance & Accounting
- Management & Leadership
Keywords
- CPP Investments
- Risk Management
- Total Fund Management
- Investment Technology
- Enterprise Architecture
- Distributed Systems
- Cloud Technologies
- Software Engineering
- DevOps
- Platform Engineering
- Security-by-Design
- Observability
- Operational Resilience
- Data Platforms
- Data Integration
- Data Products
- Generative AI
- Automation
- Scalability
- Performance
- Deployment Reliability
- Enterprise Security
- Investment Decision-Making
- Engineering Standards
- Technology Architecture
- Architecture Governance